Common SQL Server Slowdowns Are Usually Code Problems, Not Hardware Limits

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Database performance issues are frequently blamed on insufficient hardware, but in most cases the root cause lies in poorly optimized application code and queries. Missing indexes are often the single biggest culprit, forcing the database to scan millions of rows for simple lookups that could otherwise resolve instantly. Other common issues include N+1 query patterns — where an ORM silently fires dozens of individual database calls instead of one — and over-fetching data by selecting unnecessary columns or loading unfiltered record sets. Queries can also ignore existing indexes due to subtle writing mistakes, such as wrapping columns in functions or using leading wildcards, which only become visible when reading SQL Server's execution plans. Under concurrent load, these inefficiencies compound further as queries begin blocking each other, making the application degrade precisely during peak usage.

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AI System Uses Decision Transformers to Handle Satellite Anomalies With Sparse Data

A researcher developing an autonomous satellite operations AI encountered a critical limitation when a simulated telemetry blackout exposed the system's inability to act under extreme data scarcity. The study focuses on satellite anomaly response, where missing or contradictory sensor data, long sequential dependencies, and severe cost asymmetry make standard reinforcement learning approaches unreliable. The researcher found that Decision Transformers, which frame reinforcement learning as a sequence modeling problem, offer a promising foundation but still struggle with data sparsity and sudden distribution shifts during anomalies. To address these gaps, the work explores human-aligned adaptations that incorporate expert operator judgment into the decision-making pipeline. The goal is to build AI systems capable of making high-stakes satellite decisions with minimal data while remaining aligned with experienced human oversight.

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ProgrammingDEV Community ·

Formgrid Lets You Send Website Form Submissions Directly to Notion Without Zapier

Teams that manage clients and projects in Notion often face a gap where website contact form submissions land in email inboxes instead of their workspace, requiring manual copying that frequently gets skipped. Formgrid, a form-building tool, offers a native Notion integration that automatically sends each new form submission as a page into a chosen Notion database. Users connect their Notion workspace once via Notion's own authorization screen, and properties are created automatically from form fields on the first submission. The solution requires no Zapier account, no custom code, and no webhook configuration, addressing common pain points like Zapier's monthly fees, delayed syncing, and maintenance overhead. Formgrid is positioned for agencies, small teams, and course creators who already run their operations out of Notion and want real-time form data without a separate manual step.

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ProgrammingDEV Community ·

Robotics Is a Distinct Discipline, Not Just Hardware or Embedded Systems

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ProgrammingDEV Community ·

PAGI 0.002006 Clarifies How Pending Send Futures Behave on Disconnection

The PAGI async Perl framework released version 0.002006 in August 2026, resolving a longstanding ambiguity in its specification around what happens to an in-flight send when a client disconnects. The update establishes that a send Future still pending at the moment of disconnection will resolve silently rather than raise an error or remain hanging indefinitely. This approach aligns with precedents set by .NET's Kestrel, which discards writes after disconnection, rather than ASGI's error-raising model, which caused breakage in real-world FastAPI deployments. Validation failures, such as malformed event shapes or unreadable files, continue to fail the Future as before, keeping error semantics consistent and predictable. Servers implementing the new rules advertise compliance via an updated scope version field, and the accompanying PAGI::Server has been bumped to 0.002011.

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